Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model

Since November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real...

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Main Authors: Jianguo Sun, Miaomiao Gao, Daqing Jiang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/6/5/245
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author Jianguo Sun
Miaomiao Gao
Daqing Jiang
author_facet Jianguo Sun
Miaomiao Gao
Daqing Jiang
author_sort Jianguo Sun
collection DOAJ
description Since November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real world. This paper mainly gives a new random infectious disease system under infection rate environmental noise. We give the existence and uniqueness of the solution of the system and discuss the ergodic stationary distribution and the extinction conditions of the system. The probability density function of the stochastic system is studied. Some digital simulations are used to demonstrate the probability density function and the extinction of the system.
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spelling doaj.art-8d109a8d93634028a00cf5255b33a5742023-11-23T11:03:26ZengMDPI AGFractal and Fractional2504-31102022-04-016524510.3390/fractalfract6050245Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic ModelJianguo Sun0Miaomiao Gao1Daqing Jiang2School of Science, China University of Petroleum (East China), Qingdao 266580, ChinaSchool of Science, China University of Petroleum (East China), Qingdao 266580, ChinaSchool of Science, China University of Petroleum (East China), Qingdao 266580, ChinaSince November 2019, each country in the world has been affected by COVID-19, which has claimed more than four million lives. As an infectious disease, COVID-19 has a stronger transmission power and faster propagation speed. In fact, environmental noise is an inevitable important factor in the real world. This paper mainly gives a new random infectious disease system under infection rate environmental noise. We give the existence and uniqueness of the solution of the system and discuss the ergodic stationary distribution and the extinction conditions of the system. The probability density function of the stochastic system is studied. Some digital simulations are used to demonstrate the probability density function and the extinction of the system.https://www.mdpi.com/2504-3110/6/5/245stochastic epidemic modelthreshold dynamicsinfection rateextinctionergodic stationary distribution
spellingShingle Jianguo Sun
Miaomiao Gao
Daqing Jiang
Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
Fractal and Fractional
stochastic epidemic model
threshold dynamics
infection rate
extinction
ergodic stationary distribution
title Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
title_full Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
title_fullStr Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
title_full_unstemmed Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
title_short Threshold Dynamics and the Density Function of the Stochastic Coronavirus Epidemic Model
title_sort threshold dynamics and the density function of the stochastic coronavirus epidemic model
topic stochastic epidemic model
threshold dynamics
infection rate
extinction
ergodic stationary distribution
url https://www.mdpi.com/2504-3110/6/5/245
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AT miaomiaogao thresholddynamicsandthedensityfunctionofthestochasticcoronavirusepidemicmodel
AT daqingjiang thresholddynamicsandthedensityfunctionofthestochasticcoronavirusepidemicmodel